Vertical distribution of source apportioned PM2.5using particulate-bound elements and polycyclic aromatic hydrocarbons in an urban area

被引:8
|
作者
Liao, Ho-Tang [1 ,2 ]
Chang, Jung-Chi [3 ]
Tsai, Tzu-Ting [1 ]
Tsai, Shih-Wei [3 ]
Chou, Charles C-K [2 ]
Wu, Chang-Fu [1 ,3 ,4 ]
机构
[1] Natl Taiwan Univ, Inst Occupat Med & Ind Hyg, Taipei 10055, Taiwan
[2] Acad Sinica, Res Ctr Environm Changes, Taipei 11529, Taiwan
[3] Natl Taiwan Univ, Inst Environm Hlth, Taipei 10055, Taiwan
[4] Natl Taiwan Univ, Dept Publ Hlth, Taipei 10055, Taiwan
关键词
Fine particulate matter (PM2; 5); Positive matrix factorization (PMF); Elements; Polycyclic aromatic hydrocarbons (PAHs); Vertical variability; POSITIVE MATRIX FACTORIZATION; MULTISTORY RESIDENTIAL BUILDINGS; CONSTRAINED RECEPTOR MODELS; VOLATILE ORGANIC-COMPOUNDS; SPATIAL VARIABILITY; SOURCE IDENTIFICATION; AIR-POLLUTANTS; AMBIENT AIR; CHEMICAL CHARACTERISTICS; ATMOSPHERIC AEROSOL;
D O I
10.1038/s41370-019-0153-2
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Receptor models have been widely used for identifying and quantifying source-specific contributions from mixtures of air pollutants. Nonetheless, our knowledge is still limited on how various components of air pollution are vertically distributed and the sources of such pollutants. In this study, we collected 135 samples of PM2.5(particles with aerodynamic diameter less than or equal to 2.5 mu m) from building balconies at three altitudes in the metropolis of Taipei (Taiwan) and analyzed the samples for elements and polycyclic aromatic hydrocarbons that could be used to identify the sources of those pollutants. We used positive matrix factorization (PMF) to identify seven likely sources, including combustion, sulfur-rich aerosol, fresh traffic, industry/Cr-rich, oil combustion/vehicle, dust, and traffic. Although PM(2.5)mass differed significantly between low-level and mid-level sites, the largest contributor to PM(2.5)mass (sulfur-rich aerosol, 35.2%) showed nonsignificant variation in the vertical distribution. In contrast, oil combustion/vehicle, which exhibited significant difference between mid-level sites and the other two altitudes, might be a determinant in the vertical variation of PM2.5. We also observed negative trends with sampling height for combustion and traffic emissions.
引用
收藏
页码:659 / 669
页数:11
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